Xiaomi Poco F3
Geekbench AI Score
280
Single Precision Score
183
Half Precision Score
925
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 12:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 870 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Poco F3 |
| Model ID | Xiaomi M2012K11AG |
| Motherboard | alioth |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
427
79.5 IPS |
|
|
Image Classification (HP)
|
100% |
671
124.8 IPS |
|
|
Image Classification (Q)
|
97% |
1226
228.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
416
6.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
41
0.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
1243
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1586
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
5948
6.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
11442
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (HP)
|
100% |
33
2.60 IPS |
|
|
Object Detection (Q)
|
85% |
1358
109.3 IPS |
|
|
Face Detection (SP)
|
100% |
1088
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
77
0.91 IPS |
|
|
Face Detection (Q)
|
97% |
3104
37.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
178
1.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
75
0.58 IPS |
|
|
Depth Estimation (Q)
|
22% |
248
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
232
0.30 IPS |
|
|
Style Transfer (HP)
|
100% |
138
0.18 IPS |
|
|
Style Transfer (Q)
|
98% |
976
1.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
799
29.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2168
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5062
187.6 IPS |
|
|
Text Classification (SP)
|
71% |
9
13.0 IPS |
|
|
Text Classification (HP)
|
100% |
55
73.1 IPS |
|
|
Text Classification (Q)
|
93% |
79
106.6 IPS |
|
|
Machine Translation (SP)
|
100% |
89
1.54 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.49 IPS |
|
|
Machine Translation (Q)
|
54% |
65
1.85 IPS |
